MyLab Seul (36 mois)
12e édition

La nouvelle méthode pour l'anglais des affaires avec une méthode pratique, ancrée dans la réalité de l'entreprise et de nombreuses ressources en ligne. Lire la suite

Discover the innovative world of Business Partner, a new eight-level business English course for learners and professionals who want to communicate effectively in English in the workplace. Partnering with the Financial Times means that this course also offers a wealth of international business information on a wide variety of topics.

• Personalize your learning experience with a structured modular approach that gives the flexibility to focus on specific needs and learning outcomes.
• Study real-life business stories provided through authentic videos that draw you in and keep you motivated.
• Learn about key business topics such as Careers choices, Business Sectors, Projects, Global markets and Communication.
• Immerse yourself in the integrated video-based Communication skills training programme to develop awareness of communication issues, including building rapport, dealing with interruptions, managing conversations, dealing with disagreement and responding to customer concerns.
• Get practical training in functional business skills such as networking, selling a product, dealing with conflict and generating and presenting ideas.
• Work on realistic case studies in the Business workshops.
• Evaluate your progress step by step against the Global Scale of English Learning Objectives for Professional English.
• Prepare for business English exams such as BEC, BULATS, LCCI and PTE Professional™.

Code d'accès numérique - 36,00 € - Momentanément indisponible


Gerry Johnson, Richard Whittington, Kevan Scholes, Duncan Angwin, Patrick Regnér, Frédéric Fréry,
Catégorie (éditeur)
Manuels et lecture complémentaires > Stratégie / Innovation > Stratégie
Catégorie (éditeur)
Manuels et lecture complémentaires > Stratégie / Innovation
BISAC Subject Heading
BUS063000 BUSINESS & ECONOMICS / Strategic Planning
BIC subject category (UK)
KJC Business strategy
Code publique Onix
05 Enseignement supérieur
Description public visé
• Professionnels en poste ou en recherche qui doivent améliorer leur anglais pour progresser dans leur carrière • Étudiants en école de commerce, LEA, ou tout étudiant ayant besoin d'améliorer son niveau d'anglais dans un but professionnel.

VitalSource eBook

Date de publication
01 novembre 2013
Nombre de pages de contenu principal : 864
Code interne
Protection technique e-livre

Google Livres Aperçu

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Index of Applications


Part I. Exploring and Understanding Data


1. Stats Starts Here!

1.1 What Is Statistics?

1.2 Data

1.3 Variables


2. Displaying and Describing Categorical Data

2.1 Summarizing and Displaying a Single Categorical Variable

2.2 Exploring the Relationship Between Two Categorical Variables


3. Displaying and Summarizing Quantitative Data

3.1 Displaying Quantitative Variables

3.2 Shape

3.3 Center

3.4 Spread

3.5 Boxplots and 5-Number Summaries

3.6 The Center of Symmetric Distributions: The Mean

3.7 The Spread of Symmetric Distributions: The Standard Deviation

3.8 Summary—What to Tell About a Quantitative Variable


4. Understanding and Comparing Distributions

4.1 Comparing Groups with Histograms

4.2 Comparing Groups with Boxplots

4.3 Outliers

4.4 Timeplots: Order, Please!

4.5 Re-expressing Data: A First Look


5. The Standard Deviation as a Ruler and the Normal Model

5.1 Standardizing with z-Scores

5.2 Shifting and Scaling

5.3 Normal Models

5.4 Finding Normal Percentiles

5.5 Normal Probability Plots


Review of Part I: Exploring and Understanding Data


Part II. Exploring Relationships Between Variables


6. Scatterplots, Association, and Correlation

6.1 Scatterplots

6.2 Correlation

6.3 Warning: Correlation ≠ Causation

6.4 Straightening Scatterplots


7. Linear Regression

7.1 Least Squares: The Line of "Best Fit"

7.2 The Linear Model

7.3 Finding the Least Squares Line

7.4 Regression to the Mean

7.5 Examining the Residuals

7.6 R2—The Variation Accounted for by the Model

7.7 Regression Assumptions and Conditions


8. Regression Wisdom

8.1 Examining Residuals

8.2 Extrapolation: Reaching Beyond the Data

8.3 Outliers, Leverage, and Influence

8.4 Lurking Variables and Causation

8.5 Working with Summary Values


Review of Part II: Exploring Relationships Between Variables


Part III. Gathering Data


9. Understanding Randomness

9.1 What is Randomness?

9.2 Simulating By Hand


10. Sample Surveys

10.1 The Three Big Ideas of Sampling

10.2 Populations and Parameters

10.3 Simple Random Samples

10.4 Other Sampling Designs

10.5 From the Population to the Sample: You Can't Always Get What You Want

10.6 The Valid Survey

10.7 Common Sampling Mistakes, or How to Sample Badly


11. Experiments and Observational Studies

11.1 Observational Studies

11.2 Randomized, Comparative Experiments

11.3 The Four Principles of Experimental Design

11.4 Control Treatments

11.5 Blocking

11.6 Confounding


Review of Part III: Gathering Data


Part IV. Randomness and Probability


12. From Randomness to Probability

12.1 Random Phenomena

12.2 Modeling Probability

12.3 Formal Probability


13. Probability Rules!

13.1 The General Addition Rule

13.2   Conditional Probability and the General Multiplication Rule

13.3 Independence

13.4 Picturing Probability: Tables, Venn Diagrams and Trees

13.5 Reversing the Conditioning and Bayes' Rule


14. Random Variables and Probability Models

14.1 Expected Value: Center

14.2 Standard Deviation

14.3 Combining Random Variables

14.4 The Binomial Model

14.5 Modeling the Binomial with a Normal Model

*14.6 The Poisson Model

14.7 Continuous Random Variables


Review of Part IV: Randomness and Probability


Part V. From the Data at Hand to the World at Large


15. Sampling Distribution Models

15.1  Sampling Distribution of a Proportion

15.2 When Does the Normal Model Work? Assumptions and Conditions

15.3 The Sampling Distribution of Other Statistics

15.4 The Central Limit Theorem: The Fundamental Theorem of Statistics

15.5 Sampling Distributions: A Summary


16. Confidence Intervals for Proportions

16.1 A Confidence Interval

16.2 Interpreting Confidence Intervals: What Does 95% Confidence Really Mean?

16.3 Margin of Error: Certainty vs. Precision

16.4 Assumptions and Conditions


17. Testing Hypotheses About Proportions

17.1 Hypotheses

17.2 P-Values

17.3 The Reasoning of Hypothesis Testing

17.4 Alternative Alternatives

17.5 P-Values and Decisions: What to Tell About a Hypothesis Test


18. Inferences About Means

18.1: Getting Started: The Central Limit Theorem (Again)

18.2: Gosset's t

18.3 Interpreting Confidence Intervals

18.4 A Hypothesis Test for the Mean

18.5 Choosing the Sample Size


19. More About Tests and Intervals

19.1 Choosing Hypotheses

19.2 How to Think About P Values

19.3 Alpha Levels

19.4 Practical vs. Statistical Significance

19.5 Critical Values Again

19.6 Errors

19.7 Power


Review of Part V: From the Data at Hand to the World at Large


Part VI. Learning About the World


20. Comparing Groups

20.1 The Variance of a Difference

20.2 The Standard Deviation of the Difference Between Two Proportions

20.3 Assumptions and Conditions for Comparing Proportions

20.4 The Sampling Distribution of the Difference between Two Proportions

20.5 Comparing Two Means

20.6 The Two-Sample t-Test: Testing for the Difference Between Two Means

20.7 The Two Sample z-Test: Testing for the Difference between Proportions

20.8 The Pooled t-Test: Everyone into the Pool?

20.9 Pooling


21. Paired Samples and Blocks

21.1 Paired Data

21.2 Assumptions and Conditions

21.3 Confidence Intervals for Matched Pairs

21.4 Blocking


22. Comparing Counts

22.1 Goodness-of-Fit Tests

22.2 Chi-Square Test of Homogeneity

22.3 Examining the Residuals

22.4 Chi-Square Test of Independence


23. Inferences for Regression

23.1 The Population and the Sample

23.2 Assumptions and Conditions

23.3 Intuition About Regression Inference

23.4 Regression Inference

23.5 Standard Errors for Predicted Values

23.6 Confidence Intervals for

Predicted Values

*23.7 Logistic Regression


Review of Part VI: Learning About the World


Part VII. Inference When Variables Are Related


24. Analysis of Variance

24.1 Testing Whether the Means of Several Groups Are Equal

24.2 The ANOVA Table

24.3 Plot the Data…

24.4 Comparing Means



A. Answers

B. Photo Acknowledgments

C. Index

D. Tables and Selected Formulas


*Indicates an optional section

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